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cv.yml
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- title: General Information
type: map
contents:
- name: Full Name
value: Hazar Harmouch (She)
- name: Languages
value: English (Fluent), German (Upper-intermediate), Arabic (Native)
- title: Education
type: time_table
contents:
- title: PhD (Dr.-Ing.)
institution: Hasso-Plattner-Institut | Universität Potsdam, Germany
year: 2020
description:
- "Dissertation: Single-column Data Profiling"
- "Supervisor (Doktorvater): Prof. Dr. Felix Naumann"
- title: Reviewers
contents:
- Prof. Dr.-Ing. Wolfgang Lehner
- Prof. Dr. Ziawasch Abedjan
- title: Master (M.Eng) in Informatics technology engineering
institution: Al Baath University, Homs, Syria
year: 2015
description:
- "Dissertation: Effectiveness of ensemble methods in sentiment analysis of Tweets"
- title: Experience
type: time_table
contents:
- title: Assistant Professor
institution: INDE lab | University of Amsterdam, Netherlands
year: 2023-now
description:
- "Research focus: Data quality for/with artificial intelligence"
- title: Postdoctoral Research Scientist
institution: Hasso-Plattner-Institut | Universität Potsdam, Germany
year: 2020-2023
description:
- "Research focus: Data quality for/with artificial intelligence"
- title: Researcher
institution: Hasso-Plattner-Institut | Universität Potsdam, Germany
year: 2015-2020
description:
- "Research focus: Data profiling, quality, cleaning, and integration"
- title: Lecturer
institution: Faculty of Informatics Engineering at Al Baath University, Homs, Syria
year: 2010-2015
- title: Honors and Awards
type: time_table
contents:
- year: 2022
items:
- Named as a distinguished reviewer at SIGMOD 2022
- year: 2016
items:
- Ideenwettbewerb zum Nationalen IT-Gipfel 2016 for ”Mentanome the data profiling platform”
- year: 2015
items:
- DAAD Scholarship for PhD. studies and research
- year: 2015
items:
- Singapore International Graduate Award (SINGA)
- year: 2010
items:
- The memorial license for excellent graduate by Al-Baath University
- title: Academic Activity
type: nested_list
contents:
- title: Chair
items:
- Tutorial chair ICDE 2025
- The International Workshop on Quality in Databases at VLDB 2023 & 2024.
- title: Editor
items:
- <a href='https://dl.acm.org/pb-assets/static_journal_pages/jdiq/pdf/ACM_JDIQ_SI_Data_Fairification_v1-1707991662263.pdf'>ACM JDIQ Special issue</a> on Data quality dimensions in Data FAIRification design and processes.
- Frontiers <a href='https://www.frontiersin.org/research-topics/63975/contesting-artificial-intelligence-communicative-practices-organizational-structures-and-enabling-technologies'> Research Topic </a> on Contesting Artificial Intelligence Communicative Practices, Organizational Structures, and Enabling Technologies
- title: Program committee memberships
items:
- LWDA 2023 (the database track)
- DBML 2022, 2023, 2024
- SIGMOD 2022, 2025 --> <a href='https://sigmod.org/sigmod-distinguished-aes-and-pcs/'>Listed as a distinguished reviewer in 2022</a>
- BTW 2021 (demo track), 2023 (demo track), 2025
- ICDE 2019 , 2024 (demo track), 2025
- title: Journals reviewer
items:
- The VLDB Journal
- SIGMOD Record
- TODS. ACM Transactions on Database Systems
- JDIQ. Journal of Data and Information Quality (Member of the Editorial Review Board)
- Semantic web journal
- TKDE. Transactions on Knowledge and Data Engineering
- Information Systems
- The Computer Journal - Oxford Academic
- PLOS ONE
- title: Invited talks
items:
- <a href='https://www.vde.com/en/events/event-detailpage?id=21412&type=vde%7Cvdb'>AI Quality Summit</a>
- title: Selected conference talks
items:
- <a href='https://hpi.de/fileadmin/user_upload/fachgebiete/naumann/Talks/Hazar_icde_2021.pdf'>Relational Header Discovery using Similarity Search in a Table Corpus</a> (ICDE 2021)
- <a href='https://hpi.de/fileadmin/user_upload/fachgebiete/naumann/Talks/Hazar_Cardinality_VLDB2018.pdf'>Cardinality Estimation. An Experimental Survey (VLDB 2018)</a>--> Listed among the first three papers in pVLDB Reproducibility site, and highlighted at VLDB 2019.
- <a href='https://hpi.de/fileadmin/user_upload/fachgebiete/naumann/Talks/Hazar_Genuin_VLDB2018.pdf'>Discovery of Genuine Functional Dependencies from Relational Data with Missing Values</a> (VLDB 2018)